The term Internet of Things (IoT) describes a scenario where embedded systems are integrated into everyday objects, turning them into smart devices to assist the user in his everyday life. Each of these smart objects only offers a very limited amount of computational power since it is only specialized in a limited set of tasks.…
Tags: OMNeT++ WBAN
Modulation Classification of Single-Input Multiple-Output Signals Using Asynchronous Sensors
This paper discusses the automatic modulation classification of weak communication signals using distributed low-cost sensors. The concept of a secondary user in sensor networks is presented and very high-order statistics are used as modulation features. Two feature-based methods, single-variable and multivariable modulation classifiers, are proposed for estimating unknown modulation schemes through single-input multiple-output signal sensing channels. The…
Social Cognitive Heuristics for adaptive data dissemination in Opportunistic Networks
In typical Opportunistic Networking (OppNets) scenarios, mobile devices collaborate to cooperatively disseminate data toward interested nodes. However, the limited resources and knowledge available at each node, compared to possibly vast amounts of data to be delivered, makes it difficult to devise efficient dissemination schemes. Recent solutions propose to use data dissemination algorithms built on human information processing…
Optimal power allocation for multiple input single output cognitive radios with antenna selection strategies
The opportunistic spectrum access technology is one of the most promising methods for alleviating the spectrum scarcity problem, which enables a secondary user (SU) to utilise a primary user spectrum band that is detected idle. However, the throughput achieved by cognitive radios is limited by the interference constraint imposing on the SU. Multiple input single output antenna techniques…
Using BIP to reinforce correctness of resource-constrained IoT applications
Internet of Things (IoT) systems process and respond to multiple (external) events, while performing computations for a Sense-Compute-Control (SCC) or a Sense-Only (SO) goal. Given the limitations of the interconnected resource-constrained devices, the execution environment can be based on an appropriate operating system for the IoT. The development effort can be reduced, when applications are built…
Spectrum Sensing With Small-Sized Data Sets in Cognitive Radio: Algorithms and Analysis
Spectrum sensing is a fundamental component of cognitive radio (CR). How to promptly sense the presence of primary users (PUs) is a key issue to a CR network. The time requirement is critical in that violating it will cause harmful interference to the PU, leading to a system-wide failure. The motivation of this paper is to provide an effective…
On the Performance of Underlay Cognitive Multisource Multirelay Cooperative Networks
An underlay cognitive multisource multirelay cooperative network is proposed and an analytical framework to evaluate the system performance is formulated. Under both maximum transmission power and interference power constraints, exact and asymptotic outage probabilities for proactive decode-and-forward relaying over Rayleigh fading channels are derived. Both multiuser diversity and cooperative diversity can be achieved with direct secondary links.
Two-stage spectrum sensing for cognitive radio under noise uncertainty
The robustness to uncertainty of noise power is one of main challenges to spectrum sensing technique. Since the occurrence of noise power uncertainty causes the detection performance of spectrum sensing techniques significantly degrade. In this paper, we propose two novel schemes of two-stage spectrum sensing for cognitive radio under environment as noise power uncertainty. The two-stage spectrum sensing…
Dynamic Heterogeneous Learning Games for Opportunistic Access in LTE-Based Macro/Femtocell Deployments
Interference is one of the most limiting factors when trying to achieve high spectral efficiency in the deployment of heterogeneous networks (HNs). In this paper, the HN is modeled as a layer of closed-access LTE femtocells (FCs) overlaid upon an LTE radio access network. Within the context of dynamic learning games, this work proposes a novel heterogeneous multiobjective fully distributed…
Connection Discovery Using Big Data of User-Shared Images in Social Media
Billions of user-shared images are generated by individuals in many social networks today, and this particular form of user data is widely accessible to others due to the nature of online social sharing. When user social graphs are only accessible to exclusive parties, these user-shared images are proved to be an easier and effective alternative to discover…